Preetham V profile photo 1 on Tal

Preetham V

AI/ML Engineer & Android Dev | Python · Kotlin · LangChain · GenAI · Open to work

Greater Bengaluru Area

< 1 year of work experience

MindMatrixEd
Feb 20264 mosMay 2026

Bengaluru

• Shipped 3+ production-ready Android UI screens end-to-end in Kotlin + Jetpack Compose — from wireframe through QA to release, following MVVM architecture for maintainable, scalable code. • Deployed LLM tooling into a production-adjacent Android codebase using Google AI Studio, enabling AI-assisted content generation for real end users — first GenAI integration in the codebase. • Resolved 10+ cross-module bugs during QA cycles and architected Firebase real-time data workflows, reducing data-sync complexity across app modules.
MumbaiHacks 2025
Oct 20251 moOct 2025

Competed among 200+ teams at MumbaiHacks 2025 Hackathon. • Led backend development for RapidVerify — an NLP-powered misinformation detection API built with Flask, achieving sub-2 second API response time under live judging conditions. • Designed and integrated the NLP classification pipeline end-to-end within the hackathon window, enabling real-time claim verification for submitted news articles.
All India Council for Technical Education (AICTE)
Jan 20254 mosApr 2025

• Built 2 end-to-end ML pipelines on real-world green-energy datasets using scikit-learn — covering data cleaning, feature engineering, model training, and evaluation across 3,000+ data points. • Applied supervised learning techniques (regression, classification) to energy prediction tasks, achieving model validation scores above baseline for both pipelines. • Completed as part of AICTE's industry-academia program — certified by Shell and Edunet Foundation.

Preetham’s AI Stack

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cursor
langchain
langchain
langgraph
langgraph
mcp
mcp

Education

Bachelor of Engineering - BE

East west institute of technology

20224 yrs2026

Vidya Mandira Pre University College

20202 yrs2022

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Headline

AI/ML Engineer & Android Dev | Python · Kotlin · LangChain · GenAI · Open to work

About

I build AI systems that actually ship. Finishing my BE in AI & Machine Learning at East West Institute of Technology (CGPA 8.1, Aug 2026). I've spent the last year going beyond coursework — delivering four end-to-end projects, two internships, and a hackathon placing among 200+ teams. Here's what I've built: → CareerCraft AI — an LLM-powered job assistant that parses resumes & JDs, scores keyword match across 50+ categories, and generates tailored cover letters using LangChain + RAG pipelines (in progress) → WasteWise — on-device waste classifier using TensorFlow + DenseNet201, 89%+ accuracy across 10 categories, deployed to TFLite with a blockchain-based $WASTE incentive system → Virasat — production Android app (Kotlin, MVVM, Firebase, Google ML Kit) covering 20+ heritage sites with offline-first architecture and QR check-in → RapidVerify — led backend at MumbaiHacks 2025; Flask + NLP misinformation detection with sub-2s API response, competing among 200+ teams Internship experience: ↳ MindMatrixEd — Android + GenAI features in Kotlin/Jetpack Compose, Firebase MVVM, Google AI Studio workflows ↳ AICTE–Shell Edunet (Skills4Future) — built 2 ML pipelines on real green-energy datasets using scikit-learn, 3,000+ data points Stack: Python · Kotlin · TensorFlow · scikit-learn · LangChain · Jetpack Compose · Firebase · Google AI Studio · Flask · OpenCV · React.js Certified: Generative AI (Oracle) · AWS Cloud Foundations · AI Fundamentals (IBM) · Data Science (Cisco) Graduating Aug 2026. Actively looking for AI/ML, Applied GenAI, or Android SDE roles — full-time or pre-placement offer. DM me or reach out at preethamgowda159@gmail.com | github.com/PREETHAM1590

Location

Greater Bengaluru Area

AI stack

cursor

langchain

langgraph

mcp

Work experience

Android App Development Intern — Generative AI at MindMatrixEd, Feb 2026 - May 2026 · 4 mos, Bengaluru, • Shipped 3+ production-ready Android UI screens end-to-end in Kotlin + Jetpack Compose — from wireframe through QA to release, following MVVM architecture for maintainable, scalable code. • Deployed LLM tooling into a production-adjacent Android codebase using Google AI Studio, enabling AI-assisted content generation for real end users — first GenAI integration in the codebase. • Resolved 10+ cross-module bugs during QA cycles and architected Firebase real-time data workflows, reducing data-sync complexity across app modules.

Backend Developer — Hackathon Participant at MumbaiHacks 2025, Oct 2025 - Oct 2025 · 1 mo, Competed among 200+ teams at MumbaiHacks 2025 Hackathon. • Led backend development for RapidVerify — an NLP-powered misinformation detection API built with Flask, achieving sub-2 second API response time under live judging conditions. • Designed and integrated the NLP classification pipeline end-to-end within the hackathon window, enabling real-time claim verification for submitted news articles.

ML Intern at All India Council for Technical Education (AICTE), Jan 2025 - Apr 2025 · 4 mos, • Built 2 end-to-end ML pipelines on real-world green-energy datasets using scikit-learn — covering data cleaning, feature engineering, model training, and evaluation across 3,000+ data points. • Applied supervised learning techniques (regression, classification) to energy prediction tasks, achieving model validation scores above baseline for both pipelines. • Completed as part of AICTE's industry-academia program — certified by Shell and Edunet Foundation.

Education

Bachelor of Engineering - BE, East west institute of technology

Vidya Mandira Pre University College